At the first week, I personally enjoyed trying python for the first time in my life. Later I started to notice that the instructor might skip some of the keys of the syntax or functions he should had taught. I had to google some solutions to solve the unseen lessons, which was quite unfavorable to me.

Need a lot of improvment in this course. 1. Teacher is so fast in english. 2. They did not teach some functions in this course you have to learn by your own. 3. When you go to review for the excersie, in most cases questions are updated by the review answers are not helpful. Overall 42% of the course exsists in week one... can you believe this...? 42% in first week...

Victor is probably your worst instructor, can't even call him a teacher I didn't teach anything from him. He doesn't go over anything relevant, skips over important aspects of code that should be discussed, has countless errors in the module, and overall was not worth the cost. I used Khan Academy for this course. The assignments don't match the videos watched and in one point he mentions ax at the end of a video and than on the practice expects you to know what that is. The practice explanations....grab some coffee and an energy drink because the instructor who voices that is the most boring person on this planet. He sounds so bored while explaining that its not worth listening to him. This was a waste of money and time. I will definitely tell everyone I know (including on socials) to skip this course don't fund Victors awful shotty effort. If you want to teach you should be 1. Organized 2. Prepared 3. ABLE TO EXPLAIN This module should've had more 1. Practice questions throughout the videos - multiple times it appears there were supposed to be but video skips over that section 2. Better instructor - find someone who is willing to actually explain the information. Coding isn't easy at first but it is if your teacher actually explains 3. Answers are wrong- This module is riddled with incorrect codes, incorrect answers to tests, and incorrect explanations to key and basic steps. I reported most of the errors and issues but I am new to this whole thing so I was only able to find a ~42 errors in this entire course. *ALSO I GOOGLED ONE OF THE TEST QUESTIONS I GOT WRONG AND GUESS WHAT GOOGLE AND CHATGPT STATED THAT THE ANSWER IN THE TEST WAS INCORRECT. SO FACT CHECK AT LEAST. WHAT A WASTE OF 2 DAYS

The final programming activity required finding a lot of information outside the lectures. The longer Python sessions were conducted very quickly, without a lot of discussion of formal aspects of Python commands and parameters. It took me over two days to finally pass the exam, despite getting high marks on previous exercises in this course. There was no help for getting over a place I was stuck, a minor detail that I couldn't see and wasn't discussed in the course sessions, at least not in a clear way. However, by spending so much time trying to pass that exam, I did learn a lot more about Matplotlib and Seaborn

The instructor goes too fast and does not thoroughly explain topics. The quality of the video explanation reviews are terrible and blurry. Additionally, the video explanations for the quiz reviews are outdated and don't always match the questions on the quizzes themselves. I would not recommend this course!

The course is not fully organized. No datasets are provided to users to practice while watching the videos. The instructor speaks too fast and therefore some things are more difficult to follow and understand. Too frustrating.

This course taught me the basics of data analytics using python and provided good examples. My only critique is that it went a little too fast in certain areas.

Good start, but needs a lot of improvement. The explanatory videos didn't show the same tasks as the assignments. Also the last week was way too fast. That could have been at least another week more.

I have a background in Pandas and Data Analysis. I took this course to kind of push myself and make sure my self taught ways were somewhat on par with whatever else is out there. That being said, this was a slog to get through. I got the sense that the teacher had a lot of kung-fu that they have themselves in the world of data analysis, but it did not translate well into teacher kung-fu. Anyways, there's some errors in the quizzes. The exams themselves aren't really worded precisely to what was needed. Like "find the right prices", well what is a right price? Oh let's look at the assertion to find out. Overall, there was a lot of neat things covered in this video. I was actually instructed to how valuable box plots are, for example. Something my self-taught background never picked up on. TLDR: Worth it, its a slog though.

For some reason, I couldn't connect well with the floor of this course, despite having a programming background. I don't know if it is me, Python or the instructor, but I need to take another Python for Data Analytics course here to compensate.

I did not enjoy this course. I felt like the difficulty was raised compared to the other modules in this series. The instructor spoke WAY to fast during the span of 6–15-minute videos. Having to go back and reference those videos while doing the assignments was tedious. The assignment walkthrough was also a pain point. Even with 720p reading the guided answers on the video was difficult and also a pain to switch tabs from the assignment page. I had to use a third-party guide to have any sort of retention in this course. I felt like the AI grading some of the assignments also needs to be looked at. during week 2 I wrote the same code the instructor wrote during the review video, and it was still incorrect. I do not feel confident in what I learned using python and will take another certification to re-learn.

This course was very informative and did teach me a lot about Python. But the speed at which the course was taught was not ideal. The instructor is a very fast talker, to where I had to slow down the videos and watch them at .75 speed. Furthermore, the labs do NOT always match the lectures well. I struggled to answer questions exactly the way the lab wanted you to. Important things were just skipped in lectures.

It doesn't give visual explanations of what is going on in the Python code. It goes wayy to fast on the examples and there really isn't any explanations give. Also, the lab answers are blurry and unreadable Very fustrating to do the labs. If your spacing and capitilization don't match the graded answer - it is marked wrong. I don't like this class at all. You need to have some power point - pictures explaining the concepts first - then go into how to code it - . Also, don't give us questions in lab thatyou haven't covered in the lecture. Very fustrating course. I would NOT recommend this to anyone trying to learn Python.

it was a great course for python data analysis

The first week moved way too fast and should have been spread over 2 weeks at least. Once you get to pandas the class is great again. It moves at a normal pace and the instructor does a much better job working with these tools.

I liked the content and lessons learned in using Python. However, platform-wise, some assignments were not graded by the grader.

This was probably the hardest thing I've had to do when it comes to my education.

maybe some quiz need improvement

This teacher speaks way too fast and moves through code and visuals way too fast to not have to pause after literally every sentence. His speed is fine from a conversational view but from a teaching/explanatory view, it leaves no time to comprehend what he's saying without dropping the video speed down. He never pauses.

muy difícil para alguien que jamás ha visto algo relacionado con programación, el profesor explica como si todos sabemos, muy mal.